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AI Anomaly Detection

AI Anomaly Detection

AI anomaly detection is the process of using machine learning and statistical techniques to spot unusual patterns or behaviors in data—patterns that don’t conform to what’s expected or “normal.”

Katerina Roditi avatar
Written by Katerina Roditi
Updated this week

In the context of social and online data, anomaly detection can flag:

  • Sudden spikes or drops in the volume of mentions or engagement

  • Unexpected sentiment changes (e.g., a rapid swing from positive to negative mentions)

  • Unusual traffic sources (e.g., mentions suddenly coming from an unfamiliar location or demographic)

Prevent Social Media Crises through Mentionlytics

When our intelligent algorithms detect unusual spikes in negative mentions, they will automatically send you an alert so you can take action before the issue escalates into a crisis.

More specifically SIA’s AI algorithms understand the normal behavior of your mentions, and whenever it detects unusual patterns in your brand mentions, it immediately alerts you when something’s off.

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